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from datetime import datetime, timedelta
from typing import Optional, Union
from urllib.parse import urlparse
from pymongo import MongoClient, ReturnDocument
from pymongo.errors import DuplicateKeyError
from bson import ObjectId
import config
# Global dictionary to cache MongoDB clients
mongodb_clients = {}
def _normalize_date(dt: datetime) -> datetime:
"""Return UTC date at midnight for consistent daily counters."""
return datetime(dt.year, dt.month, dt.day)
def _build_ai_edit_daily_count(existing: Optional[list], now: datetime) -> list:
"""
Ensure ai_edit_daily_count is present and includes all days up to today.
- If today's date exists: return list unchanged.
- If missing dates: fill gaps with count=0 and add today with count=1.
- Always keep only the most recent 32 entries (oldest removed first).
"""
today = _normalize_date(now)
if not existing:
return [{"date": today, "count": 1}]
# Normalize dates and keep order
normalized = []
seen_dates = set()
for entry in existing:
date_val = entry.get("date")
if isinstance(date_val, datetime):
d = _normalize_date(date_val)
elif isinstance(date_val, str):
try:
d = _normalize_date(datetime.fromisoformat(date_val))
except Exception:
continue
else:
continue
seen_dates.add(d)
normalized.append({"date": d, "count": entry.get("count", 0)})
if today in seen_dates:
# already recorded today; do not change counts
normalized.sort(key=lambda x: x["date"])
if len(normalized) > 32:
normalized = normalized[-32:]
return normalized
# Fill missing days from last recorded date to today
normalized.sort(key=lambda x: x["date"])
last_date = normalized[-1]["date"]
cursor = last_date + timedelta(days=1)
while cursor < today:
normalized.append({"date": cursor, "count": 0})
cursor += timedelta(days=1)
# Add today with default count=1
normalized.append({"date": today, "count": 1})
# Enforce 32-entry limit (keep most recent 32 by date)
normalized.sort(key=lambda x: x["date"])
if len(normalized) > 32:
normalized = normalized[-32:]
return normalized
def get_selfi_short_client():
"""Get MongoDB client for the Selfie Short database (DEFAULT)"""
if "selfi_short" in mongodb_clients:
try:
mongodb_clients["selfi_short"].admin.command('ping')
return mongodb_clients["selfi_short"]
except:
del mongodb_clients["selfi_short"]
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_SELFI_SHORT,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["selfi_short"] = client
print(f"[MongoDB] Successfully connected to Selfie Short database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to Selfie Short MongoDB: {str(e)[:200]}")
return None
def get_collage_maker_client():
"""Get MongoDB client for the collage-maker database"""
if "collage_maker" in mongodb_clients:
try:
mongodb_clients["collage_maker"].admin.command('ping')
return mongodb_clients["collage_maker"]
except:
del mongodb_clients["collage_maker"]
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_COLLAGE_MAKER,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["collage_maker"] = client
print(f"[MongoDB] Successfully connected to collage-maker database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to collage-maker MongoDB: {str(e)[:200]}")
return None
def get_ai_enhancer_client():
"""Get MongoDB client for the AI-Enhancer database"""
if "ai_enhancer" in mongodb_clients:
try:
mongodb_clients["ai_enhancer"].admin.command('ping')
return mongodb_clients["ai_enhancer"]
except:
del mongodb_clients["ai_enhancer"]
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_AI_ENHANCER,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["ai_enhancer"] = client
print(f"[MongoDB] Successfully connected to AI-Enhancer database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to AI-Enhancer MongoDB: {str(e)[:200]}")
return None
def save_media_click(user_id: Optional[Union[int, str]], category_id: str, appname: Optional[str] = None):
"""
Save or update media click in the appropriate MongoDB database based on appname.
Args:
user_id: Optional integer or ObjectId string. If None, a new ObjectId will be generated automatically.
category_id: Required MongoDB ObjectId string for category.
appname: Optional app name (case-insensitive).
- If "collage-maker", uses collage-maker MongoDB (adminPanel database) with "media_clicks" collection
- If "AI-Enhancer", uses AI-Enhancer MongoDB (test database) with "media_clicks" collection
- Otherwise (DEFAULT), uses Selfie Short MongoDB (adminPanel database) with "media_clicks" collection
Document Structure:
{
userId: ObjectId,
categories: [
{
categoryId: ObjectId,
click_count: int,
lastClickedAt: Date
}
],
ai_edit_complete: int, # Count of times user used any model (default: 0 for new users)
ai_edit_last_date: Date, # Last date user used any model (stored as Date object)
ai_edit_daily_count: [ # Daily usage tracking (last 32 days)
{"date": Date, "count": int},
...
],
createdAt: Date,
updatedAt: Date
}
"""
# Log the received appname for debugging
print(f"[MongoDB] save_media_click called - appname: '{appname}', user_id: {user_id}, category_id: {category_id}")
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
print(f"[MongoDB] Database selection - use_collage_maker: {use_collage_maker}, use_ai_enhancer: {use_ai_enhancer}, default: Selfie Short")
# Validate connection string is configured
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured, skipping media_clicks logging")
return False
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured, skipping media_clicks logging")
return False
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured, skipping media_clicks logging")
return False
# Validate category_id
if not category_id:
print("[MongoDB] category_id not provided, skipping media_clicks logging")
return False
try:
# Get MongoDB client and select database/collection based on appname
if use_collage_maker:
mongo_client = get_collage_maker_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to collage-maker MongoDB")
if "collage_maker" in mongodb_clients:
del mongodb_clients["collage_maker"]
return False
db = mongo_client.get_database(config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME)
collection_name = "media_clicks"
elif use_ai_enhancer:
mongo_client = get_ai_enhancer_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to AI-Enhancer MongoDB")
if "ai_enhancer" in mongodb_clients:
del mongodb_clients["ai_enhancer"]
return False
db = mongo_client.get_database(config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME)
collection_name = "media_clicks"
print(f"[MongoDB] AI-Enhancer: Using database '{config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME}', collection '{collection_name}'")
else:
# Default: Selfie Short (selfie-beauty-camera -> adminPanel -> media_clicks)
mongo_client = get_selfi_short_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to Selfie Short MongoDB")
if "selfi_short" in mongodb_clients:
del mongodb_clients["selfi_short"]
return False
db = mongo_client.get_database(config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME)
collection_name = "media_clicks"
print(f"[MongoDB] Selfie Short (DEFAULT): Using database '{config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME}', collection '{collection_name}'")
collection = db.get_collection(collection_name)
# Handle user_id: use provided ObjectId string directly or convert integer; otherwise generate
if user_id is None:
user_object_id = ObjectId()
print(f"[MongoDB] user_id not provided, generated new ObjectId: {user_object_id}")
else:
try:
user_id_str = str(user_id).strip()
if len(user_id_str) == 24:
user_object_id = ObjectId(user_id_str)
print(f"[MongoDB] Using provided user_id as ObjectId: {user_object_id}")
else:
# Try integer -> deterministic ObjectId based on hex padded to 24 chars
user_id_int = int(user_id_str)
user_id_hex = hex(user_id_int)[2:].ljust(24, "0")[:24]
user_object_id = ObjectId(user_id_hex)
print(f"[MongoDB] Converted integer user_id '{user_id_str}' -> ObjectId: {user_object_id}")
except Exception as e:
print(f"[MongoDB] Error converting user_id to ObjectId: {e}")
user_object_id = ObjectId()
print(f"[MongoDB] Generated new ObjectId due to conversion error: {user_object_id}")
# Convert category_id to ObjectId
try:
category_object_id = ObjectId(category_id)
except Exception as e:
print(f"[MongoDB] Error converting category_id to ObjectId: {e}, category_id: {category_id}")
return False
now = datetime.utcnow()
# Check if document with userId exists
existing_doc = collection.find_one({"userId": user_object_id})
if existing_doc:
# Build daily counts
today_daily_counts = _build_ai_edit_daily_count(existing_doc.get("ai_edit_daily_count"), now)
print(f"[MongoDB] Found existing document for userId: {user_object_id}")
# Check if category exists in categories array
category_exists = False
for cat in existing_doc.get("categories", []):
cat_id = cat.get("categoryId")
if isinstance(cat_id, ObjectId):
if cat_id == category_object_id:
category_exists = True
break
elif str(cat_id) == str(category_object_id):
category_exists = True
break
if category_exists:
# Category exists, increment click_count
result = collection.update_one(
{
"userId": user_object_id,
"categories.categoryId": category_object_id
},
{
"$inc": {
"categories.$.click_count": 1,
"ai_edit_complete": 1
},
"$set": {
"categories.$.lastClickedAt": now,
"ai_edit_last_date": now,
"updatedAt": now,
"ai_edit_daily_count": today_daily_counts
}
}
)
print(f"[MongoDB] Updated category click_count - userId: {user_object_id}, categoryId: {category_object_id}")
else:
# Category doesn't exist, add new category to array
result = collection.update_one(
{"userId": user_object_id},
{
"$push": {
"categories": {
"categoryId": category_object_id,
"click_count": 1,
"lastClickedAt": now
}
},
"$inc": {
"ai_edit_complete": 1
},
"$set": {
"ai_edit_last_date": now,
"updatedAt": now,
"ai_edit_daily_count": today_daily_counts
}
}
)
print(f"[MongoDB] Added new category - userId: {user_object_id}, categoryId: {category_object_id}")
else:
# Document doesn't exist, create new document
today_daily_counts_new = _build_ai_edit_daily_count(None, now)
result = collection.find_one_and_update(
{"userId": user_object_id},
{
"$setOnInsert": {
"userId": user_object_id,
"createdAt": now,
"ai_edit_complete": 1,
"ai_edit_daily_count": today_daily_counts_new
},
"$push": {
"categories": {
"categoryId": category_object_id,
"click_count": 1,
"lastClickedAt": now
}
},
"$set": {
"ai_edit_last_date": now,
"updatedAt": now
}
},
upsert=True,
return_document=ReturnDocument.AFTER
)
print(f"[MongoDB] Created new document - userId: {user_object_id}, categoryId: {category_object_id}")
return True
except Exception as e:
import traceback
print(f"[MongoDB] ERROR saving media_clicks: {str(e)}")
print(f"[MongoDB] Traceback: {traceback.format_exc()}")
# Clear cached client on error so next attempt will retry
if use_collage_maker:
if "collage_maker" in mongodb_clients:
del mongodb_clients["collage_maker"]
elif use_ai_enhancer:
if "ai_enhancer" in mongodb_clients:
del mongodb_clients["ai_enhancer"]
else:
if "selfi_short" in mongodb_clients:
del mongodb_clients["selfi_short"]
return False
def get_category_name(category_id: str, appname: Optional[str] = None) -> Optional[str]:
"""
Look up category name from the appropriate MongoDB based on appname -> admin DB -> category collection.
Args:
category_id: MongoDB ObjectId string for the category
appname: App name to determine which MongoDB to use
- "collage-maker" → MONGODB_COLLAGE_MAKER
- "AI-Enhancer" → MONGODB_AI_ENHANCER
- default → MONGODB_SELFI_SHORT
Returns:
Category name string or None if not found
"""
if not category_id:
return None
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
try:
# Get the appropriate MongoDB client based on appname
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured, cannot lookup category name")
return None
mongo_client = get_collage_maker_client()
admin_db_name = config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME # adminPanel
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured, cannot lookup category name")
return None
mongo_client = get_ai_enhancer_client()
admin_db_name = config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME # test
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured, cannot lookup category name")
return None
mongo_client = get_selfi_short_client()
admin_db_name = config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME # adminPanel
if mongo_client is None:
print(f"[MongoDB] Could not connect to MongoDB for category lookup")
return None
# Access adminPanel database -> categories collection
db = mongo_client.get_database(admin_db_name)
collection = db.get_collection("categories")
# Convert category_id to ObjectId
try:
category_object_id = ObjectId(category_id)
except Exception as e:
print(f"[MongoDB] Error converting category_id to ObjectId: {e}")
return None
# Find the category document
category_doc = collection.find_one({"_id": category_object_id})
if category_doc:
category_name = category_doc.get("name")
print(f"[MongoDB] Found category name: {category_name} for id: {category_id} (appname: {appname})")
return category_name
else:
print(f"[MongoDB] Category not found for id: {category_id}")
return None
except Exception as e:
print(f"[MongoDB] Error looking up category name: {str(e)}")
return None
# Pixverse category mapping - keyword to category name
# 4 types of videos: AI BF, AI GF, AI Hug Video, AI Kiss Video
PIXVERSE_CATEGORIES = {
"kiss": "Ai Kiss Video",
"hug": "Ai Hug Video",
"boyfriend": "Ai BF",
"bf": "Ai BF",
"girlfriend": "Ai GF",
"gf": "Ai GF"
}
def get_category_by_prompt(prompt_text: str, appname: Optional[str] = None) -> tuple:
"""
Match prompt_text against Pixverse category names and get category_id.
Args:
prompt_text: The prompt text to match against categories
appname: App name to determine which MongoDB to use
Returns:
Tuple of (category_id, category_name) or (None, None) if not found
"""
if not prompt_text:
return None, None
prompt_lower = prompt_text.lower()
matched_category_name = None
# Find matching category based on keywords in prompt
for keyword, category_name in PIXVERSE_CATEGORIES.items():
if keyword in prompt_lower:
matched_category_name = category_name
print(f"[MongoDB] Matched prompt keyword '{keyword}' to category: {category_name}")
break
if not matched_category_name:
print(f"[MongoDB] No category match found for prompt: {prompt_text[:50]}...")
return None, None
# Determine which MongoDB to use based on appname (case-insensitive)
use_collage_maker = (appname and appname.lower() == "collage-maker")
use_ai_enhancer = (appname and appname.lower() == "ai-enhancer")
try:
# Get the appropriate MongoDB client based on appname
if use_collage_maker:
if not config.MONGODB_COLLAGE_MAKER:
print("[MongoDB] MONGODB_COLLAGE_MAKER not configured")
return None, matched_category_name
mongo_client = get_collage_maker_client()
admin_db_name = config.MONGODB_COLLAGE_MAKER_ADMIN_DB_NAME
elif use_ai_enhancer:
if not config.MONGODB_AI_ENHANCER:
print("[MongoDB] MONGODB_AI_ENHANCER not configured")
return None, matched_category_name
mongo_client = get_ai_enhancer_client()
admin_db_name = config.MONGODB_AI_ENHANCER_ADMIN_DB_NAME
else:
# Default: Selfie Short
if not config.MONGODB_SELFI_SHORT:
print("[MongoDB] MONGODB_SELFI_SHORT not configured")
return None, matched_category_name
mongo_client = get_selfi_short_client()
admin_db_name = config.MONGODB_SELFI_SHORT_ADMIN_DB_NAME
if mongo_client is None:
print(f"[MongoDB] Could not connect to MongoDB for category lookup by prompt")
return None, matched_category_name
# Access adminPanel database -> categories collection
db = mongo_client.get_database(admin_db_name)
collection = db.get_collection("categories")
# Find the category document by name
category_doc = collection.find_one({"name": matched_category_name})
if category_doc:
category_id = str(category_doc.get("_id"))
print(f"[MongoDB] Found category_id: {category_id} for name: {matched_category_name}")
return category_id, matched_category_name
else:
print(f"[MongoDB] Category not found in database for name: {matched_category_name}")
return None, matched_category_name
except Exception as e:
print(f"[MongoDB] Error looking up category by prompt: {str(e)}")
return None, matched_category_name
def get_logs_client():
"""Get MongoDB client for the Logs database"""
if "logs" in mongodb_clients:
try:
mongodb_clients["logs"].admin.command('ping')
return mongodb_clients["logs"]
except:
del mongodb_clients["logs"]
if not config.MONGODB_LOGS:
print("[MongoDB] MONGODB_LOGS connection string not set")
return None
try:
client = MongoClient(
config.MONGODB_LOGS,
tlsAllowInvalidCertificates=True,
serverSelectionTimeoutMS=15000,
connectTimeoutMS=20000,
socketTimeoutMS=30000
)
client.admin.command('ping')
mongodb_clients["logs"] = client
print(f"[MongoDB] Successfully connected to Logs database")
return client
except Exception as e:
print(f"[MongoDB] Error connecting to Logs MongoDB: {str(e)[:200]}")
return None
def save_request_log(
user_id: Optional[str],
subcategory: str,
endpoint: str,
status: str,
response_time: float,
model: str = "PixVerse",
appname: Optional[str] = None,
error: Optional[str] = None
):
"""
Save request log to MongoDB Logs database.
Args:
user_id: User ID string
subcategory: Category/subcategory name
endpoint: API endpoint called
status: "success" or "error"
response_time: Time taken in seconds
model: Model name (default: "PixVerse")
appname: App name if provided
error: Error message if status is "error"
Document Structure:
{
user_id: string,
subcategory: string,
endpoint: string,
status: string,
response_time: float,
model: string,
timestamp: Date,
appname: string or null,
error: string or null
}
"""
if not config.MONGODB_LOGS:
print("[MongoDB] MONGODB_LOGS not configured, skipping request logging")
return False
try:
mongo_client = get_logs_client()
if mongo_client is None:
print(f"[MongoDB] ERROR: Could not connect to Logs MongoDB")
if "logs" in mongodb_clients:
del mongodb_clients["logs"]
return False
db = mongo_client.get_database(config.MONGODB_LOGS_DB_NAME)
collection = db.get_collection(config.MONGODB_LOGS_COLLECTION)
log_doc = {
"user_id": user_id,
"subcategory": subcategory,
"endpoint": endpoint,
"status": status,
"response_time": response_time,
"model": model,
"timestamp": datetime.utcnow(),
"appname": appname,
"error": error
}
result = collection.insert_one(log_doc)
print(f"[MongoDB] Request log saved - user_id: {user_id}, status: {status}, endpoint: {endpoint}")
return True
except Exception as e:
import traceback
print(f"[MongoDB] ERROR saving request log: {str(e)}")
print(f"[MongoDB] Traceback: {traceback.format_exc()}")
if "logs" in mongodb_clients:
del mongodb_clients["logs"]
return False
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